Intern, Machine Learning

Key Skills

Analytical and Problem solving, Python Programming, SQL, RDBMS, Machine learning techniques, PyTorch, TensorFlow, R Programming

Job Description

As a Machine Learning Intern at Kargo, you will be part of a team of engineers and data scientists working to develop and optimize machine learning models that power Kargo’s advertising technology. Your work will directly contribute to maximizing revenue for publishers and enhancing brand value for marketers by leveraging AI-driven insights.

You will gain first-hand experience in the Machine Learning Development Lifecycle (MLDLC) while working within an Agile (Scrum) environment. You will have the opportunity to engage in diverse areas, including model development, data engineering, MLOps, and deployment, using industry-leading technologies such as Python, TensorFlow/PyTorch, Kubernetes, Docker, AWS, and more.

The Daily To-Do

• Design and develop production-grade code that adheres to Kargo’s code standard
• Support data science and machine learning teams with model development and deployment
• Compose documentation to improve knowledge sharing and onboarding process
• Assist Tech Ops in diagnosing and debugging production issues

Qualifications

• This year, we’ll be prioritizing candidates who are rising undergraduate seniors or who are pursuing postgraduate studies. All interns are required to be eligible to work in the U.S. with no visa sponsorship.
• Currently enrolled in a Bachelor's or Master's degree program in Computer Science or related technical field
• Familiarity with machine learning and programming languages like Python/R
• Proactive and has a passion for problem-solving with the audacity to take on unknown challenges
• Solid understanding of algorithms and data structures
• Experience with RDBMS and comfortable writing SQL queries
• Experience working with a modern frontend framework like Angular, React, or Vue

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